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Resolving spatial complexities of hybridization in the context of the gray zone of speciation in North American ratsnakes (Pantherophis obsoletus complex).

Authors :
Burbrink, Frank T.
Gehara, Marcelo
McKelvy, Alexander D.
Myers, Edward A.
Source :
Evolution. Feb2021, Vol. 75 Issue 2, p260-277. 18p.
Publication Year :
2021

Abstract

Inferring the history of divergence between species in a framework that permits the presence of gene flow has been crucial for characterizing the "gray zone" of speciation, which is the period of time where lineages have diverged but have not yet achieved strict reproductive isolation. However, estimates of both divergence times and rates of gene flow often ignore spatial information, for example when considering the location and width of hybrid zones with respect to changes in the environment between lineages. Using population genomic data from the North American ratsnake complex (Pantherophis obsoletus), we connected phylogeographic estimates of lineage structure, migration, historical demography, and timing of divergence with hybrid zone dynamics. We examined the spatial context of diversification by linking migration and timing of divergence to the location and widths of hybrid zones. Artificial neural network approaches were applied to understand how landscape features and past climate have influenced population genetic structure among these lineages. We found that rates of migration between lineages were associated with the overall width of hybrid zones. Timing of divergence was not related to migration rate or hybrid zone width across species pairs but may be related to the number of alleles weakly introgressing through hybrid zones. This research underscores how incomplete reproductive isolation can be better understood by considering differential allelic introgression and the effects of historical and contemporary landscape features on the formation of lineages as well as overall genomic estimates of migration rates through time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00143820
Volume :
75
Issue :
2
Database :
Academic Search Index
Journal :
Evolution
Publication Type :
Academic Journal
Accession number :
148997459
Full Text :
https://doi.org/10.1111/evo.14141